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原发性可手术浸润性导管乳腺癌中微血管密度的视觉评估和自动评估及其对预后的影响比较。

Comparison of visual and automated assessment of microvessel density and their impact on outcome in primary operable invasive ductal breast cancer.

机构信息

Academic Unit of Surgery, College of Medical, Veterinary and Life of Sciences, University of Glasgow, Royal Infirmary, Glasgow, G31 2ER, UK.

出版信息

Hum Pathol. 2013 Aug;44(8):1688-95. doi: 10.1016/j.humpath.2012.11.023. Epub 2013 Apr 8.

Abstract

Angiogenesis is essential for tumor growth and metastasis, and several studies have reported increased angiogenesis, as quantified by microvessel density, to be a powerful prognostic tool in breast cancer. Therefore, there is considerable interest in automated assessment of microvessel density with possible benefits in improved accuracy, increased precision, and handling workload. Visual and automated assessment of microvessel density (CD34(+)) and survival were examined in patients with primary operable invasive ductal breast cancer. Tissue microarrays (n = 356 patients) immunostained for microvessel density (CD34(+)) were scored visually and automatically with the Slidepath Tissue IA system (Dublin, Ireland). Visual and automated microvessel density (CD34(+)) were in agreement (interclass correlation coefficient = 0.69, P < .001). Visual but not the automated method for microvessel density (CD34(+)) was associated with locoregional treatment and metastasis. On univariate survival analysis, visual but not automated method for microvessel density (CD34(+)) was associated with recurrence-free and cancer-specific survival in patients with invasive ductal breast cancer (P < .01). Although automated assessment of microvessel density (CD34(+)) is in reasonable agreement, it poorly predicts outcome in patients with operable invasive ductal breast cancer.

摘要

血管生成对于肿瘤的生长和转移至关重要,多项研究表明,微血管密度的增加是乳腺癌强有力的预后工具,可通过微血管密度(microvessel density)来量化。因此,人们对自动评估微血管密度产生了浓厚的兴趣,这可能会提高准确性、增加精度并减轻工作量。本研究旨在检测原发性可手术浸润性乳腺导管癌患者中微血管密度(CD34(+))的自动评估与生存的关系。对免疫组化染色检测 CD34(+)的组织微阵列(n = 356 例患者)进行了人工和自动评分,采用的是 Slidepath Tissue IA 系统(爱尔兰都柏林)。人工和自动微血管密度(CD34(+))评分具有一致性(组内相关系数= 0.69,P <.001)。人工但不是自动方法评估的微血管密度(CD34(+))与局部区域治疗和转移有关。在单变量生存分析中,人工但不是自动方法评估的微血管密度(CD34(+))与浸润性乳腺导管癌患者的无复发生存和癌症特异性生存有关(P <.01)。尽管自动评估微血管密度(CD34(+))具有较好的一致性,但它对可手术浸润性乳腺导管癌患者的预后预测能力较差。

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